Welding parameter optimization using Taguchi method and Grey Relational Analysis for Gas Metal Arc Welding A1008 butt-joint

Gas Metal Arc Welding (GMAW) is one of the most important metal joint processes in metal fabrication industries. In this technique and all types of welding process, the optimal selection of welding parameter is vital in achieving high quality joints. In this study, welding current, welding voltage a...

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Main Author:	Mattar, Zainal Abidin Shah
Format:	Thesis
Language:	English
Published:	2013
Subjects:	Gas metal arc welding Finite element method Analysis of variance
Online Access:	http://psasir.upm.edu.my/id/eprint/56060/1/FK%202013%2081RR.pdf
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id	my-upm-ir.56060
record_format	uketd_dc
spelling	my-upm-ir.560602017-07-20T02:48:44Z Welding parameter optimization using Taguchi method and Grey Relational Analysis for Gas Metal Arc Welding A1008 butt-joint 2013-10 Mattar, Zainal Abidin Shah Gas Metal Arc Welding (GMAW) is one of the most important metal joint processes in metal fabrication industries. In this technique and all types of welding process, the optimal selection of welding parameter is vital in achieving high quality joints. In this study, welding current, welding voltage and welding speed are selected as welding parameter specifications. Orthogonal array of Taguchi method were performed to drive the objective function in relation to parameter of weld joint strength and then followed by Grey Relational Analysis (GRA) to solve the multi-response optimization problem. The results then were verified to check the quality using Analysis of Variance (ANOVA). The Finite Element Analysis (FEA) of residual stresses in butt-joint of two welding parameter is performed with ANSYS software and the optimum welding parameters gained from optimization was used in this study. A moving heat source model based on Goldak’s double-ellipsoid heat flux distribution is presented. The residual stresses have been calculated and the result showed that optimum welding parameters reach a value of 266 MPa and increase to value of 270 MPa for non-optimum welding parameter. The residual stress distribution and magnitude in the axial direction was obtained and the results show good agreement between the optimum and non-optimum welding process parameter. Gas metal arc welding Finite element method Analysis of variance 2013-10 Thesis http://psasir.upm.edu.my/id/eprint/56060/ http://psasir.upm.edu.my/id/eprint/56060/1/FK%202013%2081RR.pdf application/pdf en public masters Universiti Putra Malaysia Gas metal arc welding Finite element method Analysis of variance
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Gas metal arc welding Finite element method Analysis of variance
spellingShingle	Gas metal arc welding Finite element method Analysis of variance Mattar, Zainal Abidin Shah Welding parameter optimization using Taguchi method and Grey Relational Analysis for Gas Metal Arc Welding A1008 butt-joint
description	Gas Metal Arc Welding (GMAW) is one of the most important metal joint processes in metal fabrication industries. In this technique and all types of welding process, the optimal selection of welding parameter is vital in achieving high quality joints. In this study, welding current, welding voltage and welding speed are selected as welding parameter specifications. Orthogonal array of Taguchi method were performed to drive the objective function in relation to parameter of weld joint strength and then followed by Grey Relational Analysis (GRA) to solve the multi-response optimization problem. The results then were verified to check the quality using Analysis of Variance (ANOVA). The Finite Element Analysis (FEA) of residual stresses in butt-joint of two welding parameter is performed with ANSYS software and the optimum welding parameters gained from optimization was used in this study. A moving heat source model based on Goldak’s double-ellipsoid heat flux distribution is presented. The residual stresses have been calculated and the result showed that optimum welding parameters reach a value of 266 MPa and increase to value of 270 MPa for non-optimum welding parameter. The residual stress distribution and magnitude in the axial direction was obtained and the results show good agreement between the optimum and non-optimum welding process parameter.
format	Thesis
qualification_level	Master's degree
author	Mattar, Zainal Abidin Shah
author_facet	Mattar, Zainal Abidin Shah
author_sort	Mattar, Zainal Abidin Shah
title	Welding parameter optimization using Taguchi method and Grey Relational Analysis for Gas Metal Arc Welding A1008 butt-joint
title_short	Welding parameter optimization using Taguchi method and Grey Relational Analysis for Gas Metal Arc Welding A1008 butt-joint
title_full	Welding parameter optimization using Taguchi method and Grey Relational Analysis for Gas Metal Arc Welding A1008 butt-joint
title_fullStr	Welding parameter optimization using Taguchi method and Grey Relational Analysis for Gas Metal Arc Welding A1008 butt-joint
title_full_unstemmed	Welding parameter optimization using Taguchi method and Grey Relational Analysis for Gas Metal Arc Welding A1008 butt-joint
title_sort	welding parameter optimization using taguchi method and grey relational analysis for gas metal arc welding a1008 butt-joint
granting_institution	Universiti Putra Malaysia
publishDate	2013
url	http://psasir.upm.edu.my/id/eprint/56060/1/FK%202013%2081RR.pdf
_version_	1747812113733124096

Welding parameter optimization using Taguchi method and Grey Relational Analysis for Gas Metal Arc Welding A1008 butt-joint

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